# Move hermetic requirement lock files for NumPy 1 to the root
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  cp ./ci/official/requirements_updater/numpy1_requirements/*.txt .
fi

tfrun bazel build $TFCI_BAZEL_COMMON_ARGS --config=cuda_wheel //tensorflow/tools/pip_package:wheel $TFCI_BUILD_PIP_PACKAGE_ARGS
tfrun find ./bazel-bin/tensorflow/tools/pip_package -iname "*.whl" -exec cp {} $TFCI_OUTPUT_DIR \;
tfrun mkdir ./dist

    checkNotNull(valueFunction);
    ImmutableMap.Builder<K, V> builder = ImmutableMap.builder();
    while (keys.hasNext()) {
      K key = keys.next();
      builder.put(key, valueFunction.apply(key));
    }
    // Using buildKeepingLast() so as not to fail on duplicate keys
    return builder.buildKeepingLast();
  }

  /**

    checkNotNull(valueFunction);
    ImmutableMap.Builder<K, V> builder = ImmutableMap.builder();
    while (keys.hasNext()) {
      K key = keys.next();
      builder.put(key, valueFunction.apply(key));
    }
    // Using buildKeepingLast() so as not to fail on duplicate keys
    return builder.buildKeepingLast();
  }

  /**

-T8
--builder

	// libraries to look up the resource name, find the pods it selects, and return
	// one of those pods.
	builder := factory.NewBuilder().
		WithScheme(kubelib.IstioScheme, kubelib.IstioScheme.PrioritizedVersionsAllGroups()...).
		NamespaceParam(ns).DefaultNamespace().
		SingleResourceType()
	builder.ResourceNames("pods", resname)
	infos, err := builder.Do().Infos()
	if err != nil {

## Docker-Image mit Poetry

Wenn Sie <a href="https://python-poetry.org/" class="external-link" target="_blank">Poetry</a> verwenden, um die Abhängigkeiten Ihres Projekts zu verwalten, können Sie Dockers mehrphasige Builds verwenden:

```{ .dockerfile .annotate }
# (1)
FROM python:3.9 as requirements-stage

# (2)
WORKDIR /tmp

# (3)
RUN pip install poetry

# (4)

```
cat > testobject << EOF
MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.
EOF
```

Upload this object to the bucket via `mc cp`
```
mc cp testobject myminio/functionbucket/
```

    for (int trial = 0; trial < NUM_TRIALS; ++trial) {
      MutableNetwork<Integer, Object> network =
          networkBuilder.allowsParallelEdges(true).allowsSelfLoops(true).build();

      assertThat(network.nodes()).isEmpty();
      assertThat(network.edges()).isEmpty();
      AbstractNetworkTest.validateNetwork(network);

      while (network.nodes().size() < NUM_NODES) {

    Random gen = new Random(42); // Fixed seed so test results are deterministic.

    for (int trial = 0; trial < NUM_TRIALS; ++trial) {
      MutableGraph<Integer> graph = graphBuilder.allowsSelfLoops(true).build();

      assertThat(graph.nodes()).isEmpty();
      assertThat(graph.edges()).isEmpty();
      AbstractGraphTest.validateGraph(graph);

      while (graph.nodes().size() < NUM_NODES) {

         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.
         * All you need is a good internet connection and you are all set.
      * Try to build TF from sources by changing CPU optimization flags.
   
   *Please let us know if this helps.*
   
windows_comment: >
   From the stack trace it looks like you are hitting windows path length limit.